Gen-AI Powered Data Science Course in Raipur

    Get job-ready with 100% classroom training and career support

    Master tech & soft skills for complete career growth

    Build ML & Gen AI apps using Python, SQL & BI tools

    Deploy models using Flask, Streamlit & Gradio with Cloud integration

Program Duration

6 Months

Fee

INR 1,49,000

Merit Scholarships

Upto 50%

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Program Highlights

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Work on 15+ Live Projects

Industry-Ready Curriculum

6000+ Career Transitions

1200+ Hiring Partners

Free Access to 12+ Programming Tools

Masterclasses by Industry Experts

Career Support & Placement Assistance

3 Years Access to Career Portal

3 Years Access to Learning Portal

Program Curriculum

Course 1: Excel & GenAI for Analytics

Study:

• Excel For Business Problem-solving (CRISP-DM).

• Advanced Formulas, Logical Functions & Analytics Tools.

• Goal Seek, Scenario Manager & Data Tables.

• GenAI For Formula Generation, KPI Explanation & Summaries.

Create:

• Superstore Sales Dashboard With GPT

• Automated Reports Using VBA + Gen AI

• Real-world Demand Simulation On Kaggle Datasets

Attempt:

• 50+ Excel Interview Questions

• Problem-solving & KPI Explanation Practice

• Scenario-based Excel Tests

Course 2: Power BI & Tableau

Study:

• End-to-end ETL & Data Modeling.

• DAX Fundamentals to Advanced Use Cases.

• Power BI & Tableau Visual Analytics.

• Data Storytelling With Gen AI-assisted Narratives.

Create:

• Home Loan Default Dashboard (DAX Case Study)

• Retail & Superstore Profitability Dashboards

• Dynamic Tableau Dashboards with Parameters & Joins

Attempt:

• 100+ DAX & BI Questions

• Dashboard Critique & Storytelling Exercises

• BI Scenario-based Case Studies

• 4 Weekly Tests

Course 3: SQL (With Cloud Integration)

Study:

• Relational Databases & ER Modeling.

• Advanced SQL: Joins, Subqueries, Window Functions.

• Query Optimization Using Gen AI.

• SQL + Azure Cloud Integration.

Create:

• RSVP Movie Database

• Marketplace Demand-supply Analysis

• Cloud-connected Analytics Workflows

Attempt:

• 200+ SQL Interview Questions

• Complex Joins & Case-based Problems

• 1 Employability Test

• 2 Weekly Tests

Course 4: Python For Data Analysis

Study:

• Python Fundamentals, Logic & Data Structures.

• Functional Programming & OOP.

• Numpy, Pandas & Data Visualization.

• EDA Techniques with Genai Support.

Create:

• Credit Risk Analysis

• Uber Trip Demand Analysis

• Stock Market Analysis Using Yfinance

Attempt:

• 250+ Python Coding Questions

• OOP & EDA Interpretation Tests

• Leetcode & Real-dataset Challenges

• 1 Employability Test

Course 5: Statistics & Probability (AI-assisted)

Study:

• Descriptive & Inferential Statistics.

• Hypothesis Testing, ANOVA & Chi-square.

• Statistical Interpretation Using AI Tools.

Create:

• Customer Churn Distribution Analysis

• Bank Credit Scoring Statistical Report

Attempt:

• Statistics Problem Sets

• Business Interpretation & Decision-based Tests

Course 6: AI & Machine Learning

Study:

• 18+ ML Algorithms & ML Pipelines.

• Feature Engineering & Hyperparameter Tuning.

• Model Explainability (SHAP, LIME).

• Deep Learning: CNNS, RNNS, LSTMS.

• Generative AI, RAG & LLM Workflows.

• Prompt Engineering For NLP, Vision & Agents.

Create:

• Credit Risk & Churn Prediction ML Models

• Demand Forecasting System

• LLM-powered Apps (Chatbots, Semantic Search)

• Model Deployment Using Flask, Streamlit & Gradio

Attempt:

• ML & AI Case-study Questions

• Model Evaluation & Explainability Tests

• End-to-end Capstone Project

Get Future-Ready with the Newest AI Tools

  • Python
  • pandas
  • NumPy
  • matplotlib
  • seaborn
  • tableau
  • Plotly
  • Power BI
  • scikit-learn
  • Keras
  • TensorFlow
  • OpenAI
  • Excel
  • Azure
  • gradio
  • Lime
  • Flask
  • Hugging Face
  • Streamlit
  • MySQL
  • GitHub
  • SQL
  • kaggle
  • Shap

What Makes This Program Stand Out?

Tool Access

GenAI Integration

Projects

Brand Case Studies

ML Deployment

Portfolio Creation

Interview Prep

Placement Support

upGrad's Data Science Program

In-built access to all tools (Cloud-based)

ChatGPT, Copilot, Gemini for coding & analytics

8–12 real industry projects

Airbnb, Zomato, Uber, Netflix

Live apps (Streamlit/FastAPI/Docker)

GitHub + Live Dashboards + ML Apps

Module-wise + MAANG-level mock rounds

3 Years access to job portal & support

Other Data Science Courses

Tools only available in institute lab

Not included

2–3 basic or dummy projects

Generic examples

Mostly not taught

Certificate-focused

Basic interview tips

Limited or none

Why Choose upGrad?

360* Degree Career Support

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Aptitude Training

Resume Building

LinkedIn Profile Evaluation

Interview Question Bank

1:1 Mock Interview Calls

Hands-on Technical Learning

Soft Skill Training

GD/Interview Prep

Eligibility Requirements

  • Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., etc.)
  • Basic comfort with maths/logic will help
  • No coding background required

Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Start Your Application

Follow the below application process to begin your enrollment process. 

Career Roles You Can Pursue After Completing the Data Science Course at upGrad's Raipur Centre

Job Role

Average Salary in India

AI Engineer

INR 17 LPA

Data Scientist

INR 15.8 LPA

Machine Learning Engineer

INR 12 LPA

Business Intelligence Analyst

INR 9.7 LPA

Data Analyst

INR 6.9 LPA

Sourced By: AmbitionBox

What Our Learners Have to Say

Instructors

4

Faculty Members

Why is Raipur ideal for Data Science Classroom Program?

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A Thriving Education & Business Hub

High Demand for Skilled Professionals

Access to Networking Opportunities

Close to Hiring Companies & Startups

Strong Industry Exposure

A Focused Learning Environment

Train Where Your Career Grows

Frequently Asked Questions

1What is the duration of the Data Science course in Raipur?

The Data Science course in Raipur generally runs for several months, based on the chosen batch and individual learning pace. The curriculum is designed to progress smoothly from core fundamentals to advanced concepts. Learners can choose between weekday and weekend batches. This flexibility makes the course suitable for both students and working professionals.

2Who can join this Data Science course in Raipur?

Graduates, final-year students, working professionals, business analysts, statisticians, and career switchers from domains like finance, marketing, or operations can enroll. The course is ideal for anyone looking to start, upskill, or transition into data-driven roles.

3Do I need any prior programming or technical knowledge?

No prior programming or technical knowledge is required. The course starts with foundational concepts in mathematics, logical thinking, and basic coding, gradually progressing to Python, SQL, machine learning, and advanced AI topics, making it beginner friendly.

4What teaching method is used in this course?

This Data Science program follows a blended learning model with offline mentoring and online content. It includes hands-on projects, assignments, and case studies to provide practical experience, ensuring learners gain job-ready skills in data analytics, AI, and machine learning.

5Where is the upGrad Learning Support Centre in Raipur located?

The Raipur centre is located in Raipur, Odisha. It provides easy access to in-person mentoring, classroom sessions, and career guidance, while combining offline support with flexible online learning for maximum convenience.

6What is the Pay After Placement option?

The Pay After Placement option allows learners to start the course without paying upfront. You pay the program fee only after securing a job through upGrad’s placement support, reducing financial stress and allowing you to focus entirely on learning.

7What tools and technologies are covered in this course?

Learners get hands-on training in Python, SQL, Pandas, NumPy, Tableau, and Power BI. The course also covers machine learning algorithms, NLP tools, and AI techniques, ensuring familiarity with all industry-standard technologies required for data-driven roles.

8What kind of projects will I work on during the course?

The course includes real-world, industry-oriented projects such as SQL assignments, Python-based data analysis, visualization dashboards, machine learning models, and a final capstone project. These projects help learners develop practical problem-solving skills and build a strong portfolio.

9Does the course provide career support?

Yes, learners receive complete career assistance, including resume building, LinkedIn profile evaluation, interview preparation, 1:1 mock interviews, job alerts, and placement guidance. Career support continues even after course completion to help learners achieve long-term growth.

10What is the average salary after completing the course?

Graduates can target roles such as Data Scientist, Machine Learning Engineer, Data Analyst, BI Analyst, and AI Engineer. Salaries in Raipur for these roles typically range from INR 5.5–9.3 LPA, depending on experience, skills, and the hiring company.

11Which companies hire from this program?

Top recruiters for this program include Flipkart, Genpact, Tech Mahindra, KPMG, and Uber. These companies hire roles across data analytics, machine learning, and AI domains. Learners benefit from exposure to diverse, high-growth opportunities in leading global organizations.

12Are there prerequisites for Python and SQL modules?

No strict prerequisites are required. The course begins with basic programming and database concepts, gradually advancing complex SQL queries, Python libraries, and data manipulation techniques, ensuring beginners can follow comfortably.

13How does the course support career transitions?

Structured learning paths, mentorship, and industry-aligned projects help fresh graduates and professionals transition into Data Science, AI, ML, or analytics roles. The course equips learners with practical skills and confidence to switch careers smoothly.

14Are there live sessions with industry experts?

Yes, the program includes expert-led masterclasses and mentoring sessions where professionals share insights on emerging technologies, real-world applications, and industry trends. These sessions provide guidance beyond traditional learning.

15Will I get lifetime access to learning materials?

Learners get continued access to online modules, assignments, and career resources even after course completion. This allows long-term skill refreshers and helps prepare for advanced projects or interviews in data science.

16Is the course suitable for non-IT professionals?

Absolutely. Professionals from finance, marketing, operations, or business analytics can join. The course equips non-IT learners with practical skills to transition into analytics, AI, and machine learning roles successfully.

17How many hours per week should I dedicate?

It is recommended to dedicate 8–12 hours per week for offline sessions, online modules, and assignments. Learners can adjust based on their schedules, ensuring steady progress while balancing work or studies.

18Does the course provide interview preparation support?

Yes, learners get access to a curated question bank, mock interviews, and group discussion sessions. Personalized 1:1 mock interviews with experts help refine skills, build confidence, and prepare for real-world recruitment scenarios.

19Can I work on live industry datasets?

Yes, the course emphasizes practical learning with live datasets for SQL, Python, visualization, and machine learning projects. This ensures learners gain hands-on experience simulating real industry scenarios.

20What is the main advantage of choosing upGrad’s Raipur centre?

The Raipur centre combines offline mentoring with flexible online learning, hands-on projects, Pay After Placement, and career support. This setup ensures learners gain job-ready skills and confidence for roles in analytics, AI, and data science.

Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .